#Gartner: Artificial intelligence, algorithms and smart software at the heart of big network changes

Gartner says CIOs will participate in the building of a new digital platform with intelligence at the center.

Artificial intelligence, machine learning and advanced algorithms are at the heart of an emerging digital world.

That was one of the chiefs components of Gartner’s Peter Sondergaard, senior vice president and global head of Research opening remarks at today’s Gartner Symposium/ITxpo show in Orlando.


“CIOs will participate in the building of a new digital platform with intelligence at the center,” Sondergaard said told a crowd of more than 8,000 CIOs and IT leaders. “The new competitive differentiator is understanding the customer’s intent through advanced algorithms and artificial intelligence. Creating new experiences that solve problems customers didn’t realize they had.”

Gartner says “advanced machine learning algorithms are composed of many technologies (such as deep learning, neural networks and natural-language processing), used in unsupervised and supervised learning, that operate guided by lessons from existing information.”

Advanced machine learning not only enables a smart machine to understand concepts in the environment, but enables it to learn. Through machine learning, a smart machine can change its future behavior. For example, by analyzing vast databases of medical case histories, "learning" machines can reveal previously unknown insights in treatment effectiveness. This area is evolving quickly, and organizations must assess how they can apply these technologies to gain competitive advantage, Gartner said last Fall in presenting trends for 2016.

Gartner says artificial intelligence “is technology that appears to emulate human performance typically by learning, coming to its own conclusions, appearing to understand complex content, engaging in natural dialogs with people, enhancing human cognitive performance (also known as cognitive computing) or replacing people on execution of nonroutine tasks. Applications include autonomous vehicles, automatic speech recognition and generation and detecting novel concepts and abstractions (useful for detecting potential new risks and aiding humans quickly understand very large bodies of ever changing information).”


“We are building machines that learn from experience and produce outcomes their designers did not explicitly envision. Systems that can experience and adapt to the world via the data they collect,” Sondergaard said. “Machine learning and artificial intelligence move at the speed of data, not at the speed of code releases. Information is the new code base.”

A few other salient points from Gartner’s opening session:
Gartner forecasts worldwide IT spending to total $3.4 trillion in 2016, a 0.3% decline from last year. In 2017, global IT spending is projected to grow 2.9% and reach $3.5 trillion. Analysts said this growth will be driven by the software and IT services segments. Worldwide spending on software is projected to grow 7.2%, and IT services 4.8%. Software and IT services will be key to the development of the civilization infrastructure.
Real-time analytics will outpace traditional analytics by a factor of three by 2020 to become 30% of the market.
“Machine learning and artificial intelligence move at the speed of data, not at the speed of code releases. Information is the new code base.”

Networkworld.com

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